Copenhagen: Tree approximations of semantic parsing problems

Natalie Schluter; Anders Søgaard; Jakob Elming; Dirk Hovy; Barbara Plank; Hector Martinez Alonso; Anders Johanssen; Sigrid Klerke

Copenhagen: Tree approximations of semantic parsing problems

Natalie Schluter, Anders Søgaard, Jakob Elming, Dirk Hovy, Barbara Plank, Hector Martinez Alonso, Anders Johanssen, Sigrid Klerke

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

Abstract

In this shared task paper for SemEval2014 Task 8, we show that most semantic structures can be approximated by trees through a series of almost bijective graph transformations. We transform input graphs, apply off-the-shelf methods from syntactic parsing on the resulting trees, and retrieve output graphs. Using tree approximations, we obtain good results across three semantic formalisms,
with a 15.9% error reduction over a stateof-the-art semantic role labeling system on development data. Our system came in 3/6 in the shared task closed track.

Originalsprog	Engelsk
Titel	Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)
Forlag	Association for Computational Linguistics
Publikationsdato	2014
Sider	213-217
Status	Udgivet - 2014
Udgivet eksternt	Ja

Emneord

semantic structures
graph transformations
syntactic parsing
semantic formalisms
semantic role labeling

Citationsformater

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title = "Copenhagen: Tree approximations of semantic parsing problems",

abstract = "In this shared task paper for SemEval2014 Task 8, we show that most semantic structures can be approximated by trees through a series of almost bijective graph transformations. We transform input graphs, apply off-the-shelf methods from syntactic parsing on the resulting trees, and retrieve output graphs. Using tree approximations, we obtain good results across three semantic formalisms,with a 15.9% error reduction over a stateof-the-art semantic role labeling system on development data. Our system came in 3/6 in the shared task closed track.",

keywords = "semantic structures, graph transformations, syntactic parsing, semantic formalisms, semantic role labeling, semantic structures, graph transformations, syntactic parsing, semantic formalisms, semantic role labeling",

author = "Natalie Schluter and Anders S{\o}gaard and Jakob Elming and Dirk Hovy and Barbara Plank and {Martinez Alonso}, Hector and Anders Johanssen and Sigrid Klerke",

year = "2014",

language = "English",

pages = "213--217",

booktitle = "Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)",

publisher = "Association for Computational Linguistics",

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Copenhagen: Tree approximations of semantic parsing problems. / Schluter, Natalie; Søgaard, Anders; Elming, Jakob et al.
Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014). Association for Computational Linguistics, 2014. s. 213-217.

Publikation: Konference artikel i Proceeding eller bog/rapport kapitel › Konferencebidrag i proceedings › Forskning › peer review

TY - GEN

T1 - Copenhagen: Tree approximations of semantic parsing problems

AU - Schluter, Natalie

AU - Søgaard, Anders

AU - Elming, Jakob

AU - Hovy, Dirk

AU - Plank, Barbara

AU - Martinez Alonso, Hector

AU - Johanssen, Anders

AU - Klerke, Sigrid

PY - 2014

Y1 - 2014

N2 - In this shared task paper for SemEval2014 Task 8, we show that most semantic structures can be approximated by trees through a series of almost bijective graph transformations. We transform input graphs, apply off-the-shelf methods from syntactic parsing on the resulting trees, and retrieve output graphs. Using tree approximations, we obtain good results across three semantic formalisms,with a 15.9% error reduction over a stateof-the-art semantic role labeling system on development data. Our system came in 3/6 in the shared task closed track.

AB - In this shared task paper for SemEval2014 Task 8, we show that most semantic structures can be approximated by trees through a series of almost bijective graph transformations. We transform input graphs, apply off-the-shelf methods from syntactic parsing on the resulting trees, and retrieve output graphs. Using tree approximations, we obtain good results across three semantic formalisms,with a 15.9% error reduction over a stateof-the-art semantic role labeling system on development data. Our system came in 3/6 in the shared task closed track.

KW - semantic structures

KW - graph transformations

KW - syntactic parsing

KW - semantic formalisms

KW - semantic role labeling

KW - semantic structures

KW - graph transformations

KW - syntactic parsing

KW - semantic formalisms

KW - semantic role labeling

UR - https://pdfs.semanticscholar.org/6a37/bd5e5ec2cb008ebd1d65cdf3e869f1b38eae.pdf

M3 - Article in proceedings

SP - 213

EP - 217

BT - Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014)

PB - Association for Computational Linguistics

ER -

Copenhagen: Tree approximations of semantic parsing problems

Abstract

Emneord

Fingeraftryk

Citationsformater